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Using linear mixed models to compare a self-assessed frailty score with clinician assessed scores in patients approaching major surgery

Sayari, Mohammad; Durrand, James; Taylor, Christopher; Einbeck, Jochen; Kharatikoopaei, Ehsan; Craig, Joshua; Griffiths, Nathan

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Authors

James Durrand

Christopher Taylor

Ehsan Kharatikoopaei

Joshua Craig

Nathan Griffiths



Abstract

Frailty is a syndrome of reduced physiological and cognitive reserve resulting in vulnerability to physiological insult and delayed recovery. It is a recog-nised predictor of poor perioperative outcomes. The Rockwood clinical frailty score (CFS) is a validated frailty screening tool based on the appearance of the patient in clinics. A study sponsored by South Tees Hospitals NHS Foundation Trust investigated whether patients may be able to self-assess their frailty utilizing a modified Rockwood CFS, by benchmarking the self-assessed scores with a clinician-and a researcher-assessed CFS score. A linear mixed-effects model, involving covariates such as age and ASA scores, was used to compare the CFS frailty scores and to identify any differences in their agreement. Linear mixed-effect model trees were also used for a better understanding of interactions of covariates and scorer effects.

Citation

Sayari, M., Durrand, J., Taylor, C., Einbeck, J., Kharatikoopaei, E., Craig, J., & Griffiths, N. (2024, July). Using linear mixed models to compare a self-assessed frailty score with clinician assessed scores in patients approaching major surgery. Presented at International Workshop on Statistical Modelling, Durham

Presentation Conference Type Conference Paper (published)
Conference Name International Workshop on Statistical Modelling
Start Date Jul 15, 2024
End Date Jul 19, 2024
Acceptance Date Apr 10, 2024
Online Publication Date Jul 15, 2024
Publication Date Jul 15, 2024
Deposit Date Jan 12, 2025
Publicly Available Date Jan 14, 2025
Publisher Durham University
Peer Reviewed Peer Reviewed
Chapter Number Proceedings of the 38th International Workshop on Statistical Modelling
ISBN 9780907552444
DOI https://doi.org/10.1007/978-3-031-65723-8
Keywords Frailty; peri-operative care; Clinical Frailty Scale; Cohen's kappa statistic; linear mixed-effects model
Public URL https://durham-repository.worktribe.com/output/3332710
Publisher URL https://maths.dur.ac.uk/iwsm2024/
External URL http://www.statmod.org/workshops_archive_proceedings_2024.html

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